Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRONET Steven | 67 |
| 2 | BARBIER Rudy | 79 |
| 3 | ŠIŠKEVIČIUS Evaldas | 80 |
| 4 | PLANCKAERT Baptiste | 65 |
| 5 | CALLEEUW Joeri | 71 |
| 6 | EIKING Odd Christian | 75 |
| 7 | COMBAUD Romain | 63 |
| 8 | DEMOITIÉ Antoine | 69 |
| 10 | MEURISSE Xandro | 71 |
| 11 | GIRAUD Benjamin | 71 |
| 12 | ANTOMARCHI Julien | 70 |
| 14 | PACHER Quentin | 62 |
| 16 | LOUBET Julien | 66 |
| 17 | GERTS Floris | 71 |
| 19 | CLAEYS Dimitri | 77 |
| 21 | MARIN Matej | 67 |
| 23 | BLAIN Alexandre | 82 |